IP Telephony Trunk Utilization Analysis System
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Solution Overview
Problem
IP telephony networks face challenges in identifying over-utilized, under-utilized, and bad quality trunks and gateways, which affects resource allocation, budget planning, and service quality, as traditional methods like network voice quality probes and softswitch analysis are inadequate for precise identification.
Innovation Solution
A method and system that collect and analyze traffic statistics from gateways and trunks, correlate this data with network topology and configuration information, and generate reports to identify over-utilized, under-utilized, and bad quality network components, using data collection, network management, and statistics analysis systems.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If traditional network voice quality probes or softswitch CDR analysis are used to identify trunk quality issues, then the identification process becomes simpler and more accessible, but the measurement precision and reliability of detecting bad quality trunks deteriorates
Solution Approach 1:
The patent introduces an intermediary analysis system that sits between the traditional probing tools and the final identification results. This intermediary layer correlates data from multiple sources (voice quality probes, CDRs, network management systems) to produce more accurate trunk quality assessments while maintaining operational simplicity through automated processing.
Solution Approach 2:
The patent merges multiple data sources and analysis methods (voice quality probe data, CDR analysis, network management information) into a unified trunk quality assessment system. This combination allows the system to maintain ease of operation while significantly improving measurement precision through multi-source correlation.
2Measurement precision
If comprehensive traffic statistics and network topology data are collected and correlated to identify trunk utilization issues, then the measurement precision of utilization assessment improves, but the device complexity and data processing requirements increase
Solution Approach 1:
The patent creates a multi-functional analysis system that handles multiple types of data (traffic statistics, topology information, configuration data) and performs multiple analysis functions (utilization assessment, quality evaluation, capacity planning) within a single integrated platform. This universality improves measurement precision while managing complexity through consolidation rather than proliferation of separate systems.
Solution Approach 2:
The system implements automated data collection, correlation, and analysis functions that operate autonomously without requiring manual intervention for each analysis task. This self-service capability allows comprehensive data processing to occur automatically, improving precision while the system manages its own complexity through automated workflows.
3Productivity
If detailed traffic statistics are computed and correlated with network topology data to identify over-utilized and under-utilized trunks, then the productivity of resource allocation decisions improves, but the loss of time for data collection and processing increases
Solution Approach 1:
The patent implements preliminary data collection and continuous monitoring of traffic statistics and network topology information. By maintaining pre-processed data repositories and continuous baseline measurements, the system reduces the time required for detailed analysis when resource allocation decisions need to be made, thereby improving productivity without proportionally increasing processing time.
Solution Approach 2:
The system establishes continuous feedback loops that monitor trunk utilization and quality metrics in real-time or near-real-time. This ongoing data collection and automatic updating of assessments allows the system to provide timely resource allocation recommendations without requiring lengthy periodic analysis cycles, thus improving productivity while managing time investment.
Data Source
AI summary
A method to identify and report over-utilized, under-utilized, and bad quality trunks and gateways in an Internet Protocol (IP) telephony network includes collecting information associated with a plurality of gateways and trunks on the gateways, as well as correlating the information with network topology and configuration data obtained from a network management system. The collected information may be used to compute traffic statistics associated with the gateways and trunks on the gateways. The method further includes identifying over-utilized, under-utilized, and/or bad quality trunks or gateways, if any; and generating a report to display the over-utilized, under-utilized, and/or bad quality trunks or gateways, e.g., a report to display a subset of the plurality of gateways or trunks for potential upgrade or downgrade.A system to identify and report over-utilized, under-utilized, and bad quality trunks and gateways in an Internet Protocol (IP) telephony network is also claimed and described herein.